Literature DB >> 25049260

Structural magnetic resonance imaging markers of susceptibility and transition to schizophrenia: a review of familial and clinical high risk population studies.

C Bois1, H C Whalley2, A M McIntosh2, S M Lawrie2.   

Abstract

There is a growing consensus that a symptomatology as complex and heterogeneous as schizophrenia is likely to be produced by widespread perturbations of brain structure, as opposed to isolated deficits in specific brain regions. Structural brain-imaging studies have shown that several features of the brain, such as grey matter, white matter integrity and the morphology of the cortex differ in individuals at high risk of the disorder compared to controls, but to a lesser extent than in patients, suggesting that structural abnormalities may form markers of vulnerability to the disorder. Research has had some success in delineating abnormalities specific to those individuals that transition to psychosis, compared to those at high risk that do not, suggesting that a general risk for the disorder can be distinguished from alterations specific to frank psychosis. In this paper, we review cross-sectional and longitudinal studies of individuals at familial or clinical high risk of the disorder. We conclude that the search for reliable markers of schizophrenia is likely to be enhanced by methods which amalgamate structural neuroimaging data into a coherent framework that takes into account the widespread distribution of brain alterations, and relates this to leading hypotheses of schizophrenia.
© The Author(s) 2014.

Entities:  

Keywords:  Schizophrenia; clinical high-risk; familial high-risk; structural magnetic resonance imaging

Mesh:

Substances:

Year:  2014        PMID: 25049260     DOI: 10.1177/0269881114541015

Source DB:  PubMed          Journal:  J Psychopharmacol        ISSN: 0269-8811            Impact factor:   4.153


  20 in total

1.  Effects of early trauma on psychosis development in clinical high-risk individuals and stability of trauma assessment across studies: a review.

Authors:  Samantha L Redman; Cheryl M Corcoran; David Kimhy; Dolores Malaspina
Journal:  Arch Psychol (Chic)       Date:  2017-12-18

2.  Striatal shape abnormalities as novel neurodevelopmental endophenotypes in schizophrenia: a longitudinal study.

Authors:  M Mallar Chakravarty; Judith L Rapoport; Jay N Giedd; Armin Raznahan; Philip Shaw; D Louis Collins; Jason P Lerch; Nitin Gogtay
Journal:  Hum Brain Mapp       Date:  2014-12-11       Impact factor: 5.038

3.  Reduced Thickness of the Anterior Cingulate Cortex in Individuals With an At-Risk Mental State Who Later Develop Psychosis.

Authors:  Yoichiro Takayanagi; Sue Kulason; Daiki Sasabayashi; Tsutomu Takahashi; Naoyuki Katagiri; Atsushi Sakuma; Chika Obara; Mihoko Nakamura; Mikio Kido; Atsushi Furuichi; Yumiko Nishikawa; Kyo Noguchi; Kazunori Matsumoto; Masafumi Mizuno; J Tilak Ratnanather; Michio Suzuki
Journal:  Schizophr Bull       Date:  2017-07-01       Impact factor: 9.306

4.  Early Detection of Psychosis: Recent Updates from Clinical High-Risk Research.

Authors:  Ariel Schvarcz; Carrie E Bearden
Journal:  Curr Behav Neurosci Rep       Date:  2015-01-18

5.  Age-related brain structural alterations as an intermediate phenotype of psychosis.

Authors:  Juergen Dukart; Renata Smieskova; Fabienne Harrisberger; Claudia Lenz; André Schmidt; Anna Walter; Christian Huber; Anita Riecher-Rössler; Andor Simon; Undine E Lang; Paolo Fusar-Poli; Stefan Borgwardt
Journal:  J Psychiatry Neurosci       Date:  2017-09       Impact factor: 6.186

6.  Convergent and divergent gray matter volume abnormalities in unaffected first-degree relatives and ultra-high risk individuals of schizophrenia.

Authors:  Bei Lin; Xian-Bin Li; Sen Ruan; Yu-Xin Wu; Chao-Yue Zhang; Chuan-Yue Wang; Lu-Bin Wang
Journal:  Schizophrenia (Heidelb)       Date:  2022-06-04

7.  Volume Reduction of the Dorsal Lateral Prefrontal Cortex Prior to the Onset of Frank Psychosis in Individuals with an At-Risk Mental State.

Authors:  Yoichiro Takayanagi; Sue Kulason; Daiki Sasabayashi; Tsutomu Takahashi; Naoyuki Katagiri; Atsushi Sakuma; Noriyuki Ohmuro; Masahiro Katsura; Shimako Nishiyama; Mikio Kido; Atsushi Furuichi; Kyo Noguchi; Kazunori Matsumoto; Masafumi Mizuno; J Tilak Ratnanather; Michio Suzuki
Journal:  Cereb Cortex       Date:  2022-05-14       Impact factor: 4.861

8.  Brain age prediction in schizophrenia: Does the choice of machine learning algorithm matter?

Authors:  Won Hee Lee; Mathilde Antoniades; Hugo G Schnack; Rene S Kahn; Sophia Frangou
Journal:  Psychiatry Res Neuroimaging       Date:  2021-03-05       Impact factor: 2.376

Review 9.  Forecasting Remission From the Psychosis Risk Syndrome With Mismatch Negativity and P300: Potentials and Pitfalls.

Authors:  Holly K Hamilton; Brian J Roach; Daniel H Mathalon
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-10-24

10.  Associations between long-term psychosis risk, probabilistic category learning, and attenuated psychotic symptoms with cortical surface morphometry.

Authors:  Jessica P Y Hua; Nicole R Karcher; Kelsey T Straub; John G Kerns
Journal:  Brain Imaging Behav       Date:  2021-07-04       Impact factor: 3.978

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